VLSI Implementations of Compressive Image Acquisition Using Block Based Compression Algorithm

Muthukumaran N and Ravi Ramraj

Francis Xavier Engineering College, Tirunelveli-627003, India.

Abstract: In this research paper consists of compressing the images within each pixel before the storage processes, hence the size of the memory gets reduced. This can be done by the proposed method namely block based compression algorithm which uses the differential coding scheme. Here differential values are captured and then quantized. The differential coding scheme uses the concept of selecting the brightest pixel as the reference pixel. The difference between brightest pixel and subsequent pixel is calculated and quantized. Hence, their range is compressed and the spatial redundancy can be removed using block based compression algorithm. Thus, the proposed scheme reduces the accumulation of error and also reduces the requirement of memory. Thus, the Peak Signal to Noise Ratio (PSNR) value can be improved and Bits Per Pixel (BPP) value can be reduced. The future scope of the project is that the quality of the image can be further improved with high peak signal to noise ratio value using some other compression techniques.

 Key words: Image capture, image store, image compression, JPEG, PSNR, compression ratio, CMOS image sensor, VLSI implementation.